{"id":"W3204826606","doi":"10.1101/2021.09.30.462618","title":"SomaticSiMu: A mutational signature simulator","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Python (programming language); Computer science; Visualization; MIT License; Signature (topology); Data mining; Graphical user interface; Documentation; Source code; Computational biology; Artificial intelligence; Programming language; Software; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000233,0.0007540312,0.0007142193,0.000616879,0.0004821068,0.0009682097,0.002320866,0.001170129,0.01355552],"category_scores_gemma":[0.00322106,0.0005843647,0.001074208,0.0005509731,0.000493905,0.0008588978,0.001086956,0.001122513,0.002808183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008514199,"about_ca_system_score_gemma":0.00150068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166924,"about_ca_topic_score_gemma":0.002772708,"domain_scores_codex":[0.9996498,0.000110093,0.00002390425,0.00006893613,0.0001004834,0.00004684441],"domain_scores_gemma":[0.9988639,0.0006845872,0.00005883334,0.0001515291,0.0001413185,0.0000998578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006788534,0.0002517043,0.008859842,0.000679012,0.0002479386,0.0004569256,0.0002937579,0.8450809,0.0142062,0.03374424,0.05248426,0.04301631],"study_design_scores_gemma":[0.00007023954,0.00003428044,0.0003127528,0.00001717416,0.00001519483,0.00004550702,0.00001631567,0.9732082,0.005771585,0.006954309,0.01353438,0.00002007524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1454332,0.0005024645,0.6151275,0.0008272468,0.0004400905,0.0004710881,0.02387799,0.1843051,0.02901529],"genre_scores_gemma":[0.637437,0.0004713665,0.301948,0.0008756312,0.0000839092,0.001871066,0.02203987,0.02350588,0.01176722],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01355552,"threshold_uncertainty_score":0.04534775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009004508695363464,"score_gpt":0.2147988371400582,"score_spread":0.2057943284446947,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}